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maSAE

2.0.3

Mandallaz' Model-Assisted Small Area Estimators

0packages depend
8.7Kdownloads / year
88.5%test coverage
8/13checks pass

Overview

About
Maintained by Andreas Dominik CullmannFirst published 2014-04-289 releasesCRAN page ↗GitLab ↗

An S4 implementation of the unbiased extension of the model- assisted synthetic-regression estimator proposed by Mandallaz (2013) DOI:10.1139/cjfr-2012-0381, Mandallaz et al. (2013) DOI:10.1139/cjfr-2013-0181 and Mandallaz (2014) DOI:10.1139/cjfr-2013-0449. It yields smaller variances than the standard bias correction, the generalised regression estimator.

Install

Health

CRAN checks
5NOTE8OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.11
88.5%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-07-16
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 38 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
17%

Downloads

8.7K
CRAN downloads in the past year
Rank #4,917 · ~24/day · ~726/mo
Daily download trend is not available in this view yet.
25530 days
1.6K90 days
8.7K1 year
Compare downloads with other packages →
Also on105 r2u17 autocran

Repository

Repository practices

Upstream repositoryBeta

Repository gitlab.com/fvafrcu/masae is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
Imports (2)
methodsstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer · added in 1.0.0
Authors (1)
Author, Maintainer · added in 1.0.0
Contributors (2)
Contributor · added in 1.0.0
Listed in earlier versions (3)
no longer listed · 0.1-2 to 0.1-5
no longer listed · 0.1-4 to 0.1-5
no longer listed · 0.1-4 to 2.0.3
Package Timeline

9 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.3Latest
    2021-04-12 · current release · diff ↗
  • 2.0.2
    2020-11-02 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 2.0.1
    2020-03-23 · diff ↗
  • 2.0.0
    2020-03-13 · diff ↗
  • 1.0.0
    2020-01-10 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1-5
    2016-05-31 · diff ↗
Show 6 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1-4
    2016-02-26 · diff ↗
  • 0.1-3
    2015-07-03 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 0.1-2
    2014-04-28
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-04-28
Total releases
9 / 12 yrs
License
BSD_2_clause + file LICENSE OSI
Minimum R
≥ 3.6.0
Bundled data
479 KB / 3 files
Download size
1.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("maSAE")
Cullmann, A. D., Mandallaz, D., & Massey, A. F. (2021). maSAE: Mandallaz' Model-Assisted Small Area Estimators (Version 2.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.maSAE

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for maSAE version 2.0.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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